A Review on - MRAS based Sensorless Control of Interior Permanent Magnet Synchronous motor drives using Fuzzy Logic

Authors

  • Megha. P  Department of EIE, Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India

Keywords:

Fuzzy Logic, interior permanent magnet synchronous motor drives (IPMSM), sensorless control, Model reference adaptive system (MRAS).

Abstract

Model reference adaptive system (MRAS) is typically employed for rotor position/ speed estimation in sensorless interior permanent magnet motor (IPMSM) drives. There are different ways to improve the performance of IPMSM drives. In previous research PI controller is used to control the speed of Permanent magnet synchronous motor. But in some cases when dynamics of the system varies with operating conditions and time the PI controller will not give better performance. To overcome this problem a new MRAS scheme based on fuzzy logic is proposed. In order to avoid the difficulties involved with manual tuning of the PI control parameters, fuzzy controller is implemented. Fuzzy control scheme consists of two models, namely current model of the IPMSM as the adjustable model, and the motor itself as the reference model. The difference between the outputs of the two models gives the estimated value of the rotor speed through a adaptive mechanism and position can be obtained by integrating the speed. In order to lower the motor speed ripple caused by the cyclic fluctuating load, a feed- forward compensation strategy with the load-matching motor output torque pattern is developed. The proposed system has to be implemented in MATLAB simulink.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-05-08

Issue

Volume 4, Issue 6, May-June-2018

Section

Research Articles

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How to Cite

[1]
Megha. P, " A Review on - MRAS based Sensorless Control of Interior Permanent Magnet Synchronous motor drives using Fuzzy Logic, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.628-630, May-June-2018.